Generalized linear models, exponential family, likelihood methods for data analysis, model building and diagnostic methods for assessing model assumptions. Models covered include multiple regression, binary and polychotomous response models, Poisson regression and hierarchical loglinear models for contingency tables, Quasi likelihood and GEE.